NVIDIA is seeking an intern to join their team focused on VLSI design and AI technology. The role involves researching and developing device and system models to enhance silicon performance and reliability. Interns will work on high-performance software and VLSI hardware design, contributing to the creation of internal CAD tools. This position is ideal for those passionate about innovation in computing and eager to tackle complex challenges.

• Currently enrolled and pursuing a Master's degree or higher in Electrical Engineering, Computer Engineering, or a related field.
• Knowledge in digital circuit design, MOSFET device physics, and Static Timing Analysis.
• Experience in VLSI backend design.
• Good understanding of Machine Learning and statistics.
• Shown knowledge or experience with scripting in Python, Perl, or Tcl.

• Research and develop compact device and system models to predict silicon timing behavior in pre-silicon simulations.
• Use Machine Learning and analytical techniques to accelerate device and system timing characterization.
• Develop tools and methodologies to enhance silicon performance and reliability beyond industry standards.
• Explore the impact of physical effects such as IR drop, crosstalk, aging, and thermal impact on timing and design decisions.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.